DocumentCode
2596539
Title
Shape representation and recognition from curvature
Author
Dudek, Gregory ; Tsotsos, John K.
Author_Institution
Res. Centre for Intelligent Machines, McGill Univ., Montreal, Que., Canada
fYear
1991
fDate
3-6 Jun 1991
Firstpage
35
Lastpage
41
Abstract
An approach for describing objects for the purpose of recognition is developed. The authors deal with two key issues: building natural descriptions of curved objects, and making these descriptions compact and abstract. Typical examples of the types of curve one is able to describe as both qualitatively similar, yet discriminably different, are shown. Methods based on curvature extrema alone are likely to find three of the four of these shapes indistinguishable, while methods based on approaches such as shape templates may be oblivious to their similarity. The central ideas of the approach are outlined
Keywords
computer vision; computerised pattern recognition; curvature extrema; curved objects; natural descriptions; shape recognition; shape representation; shape templates; Art; Data mining; Dynamic programming; Interpolation; Noise measurement; Noise shaping; Robustness; Shape; Smoothing methods; Target recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location
Maui, HI
ISSN
1063-6919
Print_ISBN
0-8186-2148-6
Type
conf
DOI
10.1109/CVPR.1991.139657
Filename
139657
Link To Document